Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
M
ManTech
Data Scientist. Job in Tampa Gr8Jobs
Career Insights for Data Scientist
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Florida data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$102,036 / year median in Florida
+23% projected growth
Job Description
hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role. MANTECH seeks a motivated, career and customer-oriented Data Scientist to join our team in Tampa, FL . The Data Scientist will leverage their strong technical background and knowledge to interpret and analyze complex sets of data to produce actionable insights. This role requires a knowledge of programming, mathematical modeling, and statistics to carry out machine learning projects. Responsibilities include but are not limited to: Quantitative analysis of data sets using exploratory mathematical and statistical analysis. Coordinating data analytic research activities applied to structured and unstructured data sets. Providing novel solutions to command data challenges through experimentation, by applying scientific methodology and statistics to frame problems and test hypotheses. Apply natural language processing (NLP) methods, clustering techniques and predictive modeling to generate insights. Designing and automating processes to facilitate the manipulation and analysis of data across dissimilar and large-scale data sets; cleaning and organizing data sets. Using frameworks such as Spark and Hadoop for large-scale data processing Creating data visualizations using products like Tableau or Power BI. Researching, designing, and implementing algorithms to solve complex problems using R, Python (NumPy, SciPy, Pandas), or similar scientific programming languages. Perform statistical modeling and machine learning cloud-based ML platforms. Communicating complex concepts and hypotheses to a non-technical audience.